Nikolaos Vasiloglou Email & Phone Number

Berkeley, California, Us

Berkeley, California, Us

RelationalAI is building one of a kind knowledge graph management system. You can think of it as a database with auto-differentiation and logical reasoning as first-class citizens. In this journey, I have been leading the data science team on multi-million projects related to traditional data science (Kaggle stack), as well as to natural language understanding, recommendations, computer vision, and of course knowledge graphs. I have also participated in shaping the vision and design of the product. At last, I have spent a lot of time helping with sales and account management. RelationalAI is working with major players in retail, fintech, and telecom.

Atlanta, Georgia, Us

Datawise develops large-scale custom data-driven applications. We follow the camel startup model when it comes to funding our products.

Athens, Gr

Helping in the design and go-to-market strategy of Anymeets, a platform for organizing conferences.

Palo Alto, Ca, Us

I am working on the next generation of conversational AI systems for the service desk and customer support industry.Aisera offers the world’s first AI-driven service experience solution that automates operations and support for IT, Sales, and customer service, making businesses and customers successful by offering consumer-like self-service resolutions to users. Aisera fast tracks the digital transformation journey with user and service behavioral intelligence that drives end-to-end automation of tasks, actions, and business processes. Aisera is a top-tier, VC-funded startup headquartered in Palo Alto, Calif. and a strategic partner with AWS, Microsoft Azure, Google Cloud, ServiceNow, Cisco, and Salesforce.

Atlanta, Georgia, Us

MLTrain is an organization that offers training for professionals and practitioners in Artificial Intelligence. The team has offered training in the US, Europe, Africa, and Australia. We have been the first to teach tensorflow and other domains like probabilistic programming.www.mltrain.cc

San Jose, California, Us

-- Developed several patents-- Did a lot of training in the engineering groups about machine learning theory and coding (tensorflow)-- Supervised several interns-- Worked on the development of algorithms for email spam and targeted attacks

Atlanta, Georgia, Us

Helped in the design of the program and gave Lectures for the executive education programs on Leveraging the power of data

Atlanta, Ga, Us

I am expanding and maintaining the machine learning engine. I have helped LogicBlox extend the datalog language for expressing machine learning algorithms, so that it is easy to scale software development operations. Also working on problems such as Entity Resolution and probabilistic programming (part of the DARPA PPAML initiative) for easier machine learning modeling from nonexperts. --Architected the demand forecasting service that is being used by several top 15 US retailers at massive scale. -- Transferred and improved several novel algorithms from academic papers to production-- Coordinated academic relationships-- Trained several junior datascientists and supervised summer interns (about 10 every year) who were doing their senior thesis projects.--Participated in executive meetings for educating strategists and senior sales people about the how to communicate our advanced ML technology

San Francisco, Ca, Us

Developed a novel data science model for a government agency

San Francisco, California, Us

As the former technical chair and co-organizer of the MLconf workshops I assisted in forming the agenda and theme of each MLConf workshop (www.mlconf.com). My key function was the quality control of the speakers at the conferences. My duties included inviting speakers from industry and academia who work on trendy and practical machine learning problems, interviewing such speakers on their work in ML and reviewing and selecting papers to be presented at the conference. I am also proud that the speaker panel would include at least 40% women. I also developed relationships with book publishers so that we could host a mini book expo with the current state of the art books. Lessons learned was another product that I launched. For the period I was involved with Mlconf, the events were a great success and were sold out in every city they took place.

New York, New York, Us

-- Worked on an interesting mobile advertising problem-- Helped building the data science team-- Worked on the development of the device graph and introduced some machine learning algorithms .

Developing and maintaining a large scale machine learning library. Working on asynchronous parallelization with Graphlab, Erlang. Integration with R is in the future plans

Atlanta, Ga, Us

Atlanta, Ga, Us

Developed machine learning models for botnet detection. Helped the team understand state of the art algorithms in graph mining. Developed algorithms for detecting DGA bots. Published 2 papers and 2 patents and helped develop a production systems that has discovered before anyone else new threats.The papers have received hundreds of citations and are still considered state of the art in the industry.

Woodbridge Township, New Jersey, Us

Alpharetta, Ga, Us

I did an evaluation of the ECL language of the HPCC LexisNexis platform on the development of machine learning algorithms and suggested extensions. Contributed on the open source ecl-ml library. Integrated the Ismion Paperboat library and paved the way for opening and integrating other libraries by setting the paradigm. Member of the advisory board and business partner network

I am using the LogicBlox machine learning engine to model large scale retail problems. I have used successfully the Ismion Paperboat library for supporting a forecasting engine for big retailers, scaling to millions of SKUs. Also developed novel methods for discovering substitute products, that lead to a patent.

Mountain View, California, Us

Confidential. Contributed code to their code engine

Atlanta, Ga, Us

Lead the development team of the machine learning product and successfully deployed it. The Analytics 1305 library was the successor of the open source MLPACK library and the predecessor of Ismion Paperboat and SkyTree server

Optimizing mobile ad campaigns

Mountain View, Ca, Us

Audio Fingerprinting Development

Mountain View, Ca, Us

Google video commercial removal

Houston, Texas, Us

Nonlinearities on speech

Labeled 3000 speech spectrograms

Phd, Electrical And Computer Engineering

Msc, Electrical And Computer Engineering

Bachelors, Electrical And Computer Engineering